I would like to install and load this package from GitHub on my company laptop with a company network.
I have been facing issues with the two following possible solutions:
When I download the zip and install it through RStudio>Tools>Install Packages>Install from: Package Archive File (.zip; tar.gz), it seems that the package is well installed. However, I have difficulties loading the package through library(photon-master). It tells me that package must be of length 1.
When I try to install the package from GitHub, I also have some difficulties when I use the following code:
require(devtools)
require(httr)
set_config(use_proxy(url="userproxy.xxx.xxx.local", port=8080, username="IDxxxxxx",password="xxx"))
devtools::install_github(repo = 'rCarto/photon')
where the proxy server settings have been found in
Start>control panel>Network and Internet > click on Internet Options >
click on connections tab then right at the bottom click on LAN
settings > Check Proxy Server Settings
I get the following error message:
Error in curl::curl_fetch_disk(url, x$path, handle = handle) :
Failure when receiving data from the peer
Any solution would be greatly appreciated. I just want to use the package.
Thanks in advance for your time
Related
I am trying to install the ggpattern package from GitHub (https://www.rdocumentation.org/packages/ggpattern/versions/0.2.0)
I've reinstalled R, followed the all steps according to the site, also tried
remotes::install_github("coolbutuseless/ggpattern", force = TRUE)
But I still get:
Error: Failed to install 'unknown package' from GitHub:
HTTP error 401.
Bad credentials
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I'm working on R version 4.1.2 (newest according to me) on Windows.
Do you have any idea what is the issue here?
You need to check if you have a personal access token set in your environment. For example, when I have a Git project, I set a personal access token. However, I set this in the project environment, so that it isn't any issues outside of that environment.
To see if there is one assigned:
Sys.getenv("GITHUB_PAT")
If there is one set, write it down (you may need that in the future).
To remove it, so you can install the GitHub package:
Sys.unsetenv("GITHUB_PAT")
I am struggling with installing a package from a GitLab repository on a Windows computer.
I found different hints but still have problems to install my package from GitLab. First of all, I generated a public and private key with puttygen.exe. The files need to be changed afterwards, I had to remove comments and stuff so they look like my the file on my Unix system. So now, both public and private key files have just a single line.
I tried to install my package via devtools::install_git which takes very long and I get the error message
Error: Failed to install 'unknown package' from Git:
Error in 'git2r_remote_ls': Failed to authenticate SSH session: Unable to send userauth-publickey request
And with devtools::install_gitlab I get a different error message and I somehow have the feeling, the link which gets generated doesn't fit to my GitLab server.
Error: Failed to install 'unknown package' from GitLab:
cannot open URL 'https://gitlab.rlp.net/api/v4/projects/madejung%2FMQqueue.git/repository/files/DESCRIPTION/raw?ref=master'
My complete code to test at the moment is
creds <- git2r::cred_ssh_key(publickey="~/.ssh/id_rsa_gitlab.pub",
privatekey="~/.ssh/id_rsa_gitlab")
devtools::install_git(
url='git#gitlab.rlp.net:madejung/MQqueue.git',
quiet=FALSE,
credentials=creds)
devtools::install_gitlab(
repo='madejung/MQqueue.git',
host='gitlab.rlp.net',
quiet=FALSE,
credentials=creds
)
My id_rsa_gitlab.pub file looks like this and is just a single line:
ssh-rsa AAAA....fiwbw== rsa-key-20200121
The id_rsa_gitlab file has just the code:
AAABA.....3WNSIAGE=
Update
On my Mac system it works as expected after installing the libssh2 library via homebrew and and recompiling git2r with install.packages("git2r", type = "source").
So the working code on my machine is:
creds <- git2r::cred_ssh_key(publickey="~/.ssh/id_rsa_gitlab.rlp.net.pub",
privatekey="~/.ssh/id_rsa_gitlab.rlp.net")
devtools::install_git(
url='git#gitlab.rlp.net:madejung/MQqueue.git',
quiet=FALSE,
credentials=creds
)
For some strange reason, the devtools::install_git call needs about a minute to fail in the end. I have no idea where the problem here is.
After struggling for almost a day, I found a solution I can live with...
I first created a PAT (Personal Access Token) in my gitlab account and granted full API access. For some reason the read_only access didn't worked and I am now tired to figure out what the problem is.
After this I had still problems to install my package and for some reason, the wininet setting for downloading doesn't work.
I used the command capabilities("libcurl") to check if libcurl is available on my windows, which was and tried to overwrite wininet to libcurl by using method='libcurl' in the install function. Somehow, this was not enough so I overwrote the options variable download.file.method directly.
options("download.file.method"='libcurl')
devtools::install_gitlab(
repo='madejung/MQqueue',
auth_token='Ho...SOMETHING...xugzb',
host='gitlab.rlp.net',
quiet=FALSE, force=TRUE
)
I've been trying to install and run keras in RStudio (Windows) in vain.
i installed keras package using normal package "keras"
(didn't use github)
I've installed latest python (3.6) and Anaconda.
then i use
> library(keras)
> install.keras()
and i get this error:
Creating r-tensorflow conda environment for TensorFlow installation...
Fetching package metadata ... CondaHTTPError: HTTP 000 CONNECTION
FAILED for url
https://repo.continuum.io/pkgs/main/win-64/repodata.json.bz2
Elapsed: -
An HTTP error occurred when trying to retrieve this URL. HTTP errors
are often intermittent, and a simple retry will get you on your way.
ConnectTimeout(MaxRetryError("HTTPSConnectionPool(host='repo.continuum.io',
port=443): Max retries exceeded with url:
/pkgs/main/win-64/repodata.json.bz2 (Caused by
ConnectTimeoutError(, 'Connection to repo.continuum.io timed out.
(connect timeout=9.15)'))",),)
Error: Error 1 occurred creating conda environment r-tensorflow In
addition: Warning message: running command
'"C:\PROGRA~3\ANACON~1\Scripts\conda.exe" "create" "--yes" "--name"
"r-tensorflow" "python=3.6"' had status 1
I've looked up everywhere on the web and can't figure out how to install keras and tensorflow properly. Using latest version of R (3.4.2)
Every method fails somewhere.
just to add to misery, i've also tried:
> devtools::install_github("rstudio/keras")
and i get this error:
Installation failed: Timeout was reached: Connection timed out after
10015 milliseconds
I am not behind any authenticated proxies. So, after multiple failure, i just downloaded the zip file from github and manually installed it using the zip file.
i also tried install.packages("keras") and that didn't give me any error either.
when i call the library i don't get any errors (as shown above)
UPDATE: I was able to install and use the package very easily on another computer that doesn't have python/anaconda installed on it already.
UPDATE 2: my proxy does not need authentication and there is no https_proxy either.
OK,, FINALLY found a solution.
Turns out RStudio uses a lot of default proxy settings, so i needed to change all that and set up my own proxy settings.
First step:
Rstudio --> Tools --> Global Options --> packages --> uncheck both "Use secure download method for HTTP" and "Use Internet Explorer librayr/proxy for HTTP"
Second step, in RStudio type:
> file.edit('./.Renviron')
Either an empty file or some file with already existing proxy settings will open. (Mine was empty). Then I included the following two:
http_proxy=http://myusename:password#proxy.server.com:port/
https_proxy=http://myusename:password#proxy.server.com:port/
(a few notes: I didn't have a https_proxy setting but I still needed to use the http_proxy details for my https_proxy setting. This was one of the culprits for my issue. Also, I needed to include the username:password even though my proxy doesn't need secure authentication. Same thing goes with the port. Port number had to be included, otherwise it wouldn't work.
Step 3:
Saved the new changes in .Renviron file and restarted RStudio.
I checked my proxy settings in RStudio after restart by typing:
> Sys.getenv("http_proxy")
> Sys.getenv("https_proxy")
The first few times i did this i realised that the proxy settings were not being changed in RStudio because i was editing the wrong .Renviron file. So, it's best to use file.edit('~/.Renviron') in step 2 to make sure it's the right file.
After all this, when i ran install.keras(), it installed successfully, including installing Tensorflow. Again, initially i had skipped step 1 so keras started being installed but it failed at installing tensorflow.
It was only going through all the steps that i was able to install both keras and tensorflow successfully over a proxy. Hope this helps.
Uninstalling Anaconda3 and installing Anaconda2 (i.e. Python 2.7) did the trick for me: https://www.anaconda.com/download/
Following the steps as outlined below:
install Java APIv3 from the Bloomberg terminal (by typing WAPI into the command bar). Once installed connect it to R using :install.packages("Rbbg", repos = "http://r.findata.org") and conn <- blpConnect(log.level = "finest"). Finally, to extract share price information you use bdp(conn,securities,function)
I get an error when trying to connect that gives me the following message:
Error in .jnew("org/findata/blpwrapper/Connection", java.log.level) :
org.findata.blpwrapper.WrapperException: Session not started because: CONNECTION_FAILURE
Any advice how to resolve this would be very appreciated.
Please try migrating to Rblpapi. This is more modern equivalent and can be found on CRAN (install.packages("Rblpapi")) or github (https://github.com/Rblp/Rblpapi).
I am trying to install the BTYplus package in R.
devtools::install_github("mplatzer/BTYDplus", dependencies=TRUE)
library(BTYDplus)
demo(package="BTYDplus")
But it gives me the following error:
Downloading github repo mplatzer/BTYDplus#master
Error in curl::curl_fetch_memory(url, handle = handle) :
Couldn't connect to server
Did anyone had a similar issue when installing packages on R?
You can download the library externally and then import it to R:
Download from: https://github.com/mplatzer/BTYDplus
import from: Tools > Install Packages/ Package Archive File(.zip; .tar.gz)
Setting the proxy did work for me. Here is how I have done that:
library(httr)
set_config(use_proxy(url='http://my.proxy', port, username, password))
(and fill in your own url, port, username and password. Username and password were not necessary for me)
For me it was not proxy problem, instead the following lines solved my problem:
library(httr)
set_config(config(ssl_verifypeer = 0L))
Found it here.